A Procedure to Assess Interviewer Effects on Nonresponse Bias

It is generally accepted that interviewers have a considerable effect on survey response. The difference between response success and failure does not only affect the response rate, but can also influence the composition of the realized sample or respondent set, and consequently introduce nonrespons...

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Main Authors: Geert Loosveldt, Koen Beullens
Format: Article
Language:English
Published: SAGE Publishing 2014-02-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/2158244014526211
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author Geert Loosveldt
Koen Beullens
author_facet Geert Loosveldt
Koen Beullens
author_sort Geert Loosveldt
collection DOAJ
description It is generally accepted that interviewers have a considerable effect on survey response. The difference between response success and failure does not only affect the response rate, but can also influence the composition of the realized sample or respondent set, and consequently introduce nonresponse bias. To measure these two different aspects of the obtained sample, response propensities will be used. They have an aggregate mean and variance that can both be used to construct quality indicators for the obtained sample of respondents. As these propensities can also be measured on the interviewer level, this allows evaluation of the interviewer group and of the extent to which individual interviewers contribute to a biased respondent set. In this article, a procedure based on a multilevel model with random intercepts and random slopes is elaborated and illustrated. The results show that the procedure is informative to detect influential interviewers with an impact on nonresponse basis.
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spelling doaj.art-9e5183205c99436eb6239f0dd440b5822022-12-21T23:08:35ZengSAGE PublishingSAGE Open2158-24402014-02-01410.1177/215824401452621110.1177_2158244014526211A Procedure to Assess Interviewer Effects on Nonresponse BiasGeert Loosveldt0Koen Beullens1KU Leuven, BelgiumKU Leuven, BelgiumIt is generally accepted that interviewers have a considerable effect on survey response. The difference between response success and failure does not only affect the response rate, but can also influence the composition of the realized sample or respondent set, and consequently introduce nonresponse bias. To measure these two different aspects of the obtained sample, response propensities will be used. They have an aggregate mean and variance that can both be used to construct quality indicators for the obtained sample of respondents. As these propensities can also be measured on the interviewer level, this allows evaluation of the interviewer group and of the extent to which individual interviewers contribute to a biased respondent set. In this article, a procedure based on a multilevel model with random intercepts and random slopes is elaborated and illustrated. The results show that the procedure is informative to detect influential interviewers with an impact on nonresponse basis.https://doi.org/10.1177/2158244014526211
spellingShingle Geert Loosveldt
Koen Beullens
A Procedure to Assess Interviewer Effects on Nonresponse Bias
SAGE Open
title A Procedure to Assess Interviewer Effects on Nonresponse Bias
title_full A Procedure to Assess Interviewer Effects on Nonresponse Bias
title_fullStr A Procedure to Assess Interviewer Effects on Nonresponse Bias
title_full_unstemmed A Procedure to Assess Interviewer Effects on Nonresponse Bias
title_short A Procedure to Assess Interviewer Effects on Nonresponse Bias
title_sort procedure to assess interviewer effects on nonresponse bias
url https://doi.org/10.1177/2158244014526211
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